Reliability Analysis for Multidisciplinary System with Random and Interval Variables
Tremendous efforts have been devoted to developing efficient approaches to reliability analysis for multidisciplinary systems. Most of the approaches, however, are only capable of dealing with random variables modeled by probability distributions. Both random and interval variables may exist in multidisciplinary systems. Their propagation through coupled subsystems makes reliability analysis computationally expensive. A unified reliability analysis framework with both random and interval variables is proposed for multidisciplinary systems in this work. The framework is an extension of the existing unified uncertainty analysis framework for single-disciplinary problems. Three supporting algorithms are developed by taking into account different strategies for various cases. The effectiveness of these algorithms is demonstrated by a mathematical example and an engineering application.
J. Guo and X. Du, "Reliability Analysis for Multidisciplinary System with Random and Interval Variables," AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference, American Institute of Aeronautics and Astronautics (AIAA), Apr 2008.
Mechanical and Aerospace Engineering
Keywords and Phrases
Probability Distributions; Reliability Analysis Costs
Article - Conference proceedings
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